Data Warehousing and Knowledge Discovery [electronic resource] : 13th International Conference, DaWaK 2011, Toulouse, France, August 29- September 2, 2011, Proceedings / edited by Alfredo Cuzzocrea, Umeshwar Dayal.
Contributor(s): Cuzzocrea, Alfredo [editor.]
| Dayal, Umeshwar [editor.] | SpringerLink (Online service).
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BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 6862Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: XIV, 498 p. 180 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642235443.Subject(s): Computer networks | Electronic data processing -- Management | Cryptography | Data encryption (Computer science) | Computers and civilization | Application software | Algorithms | Computer Communication Networks | IT Operations | Cryptology | Computers and Society | Computer and Information Systems Applications | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.
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This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.
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